Browsing by Author "Elrhoul, Mohamed"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Energy evaluation and improvement of silk house microgrid systemPublication . Elrhoul, Mohamed; Pereira, Ana I.; Rolle, José Luis Calvo; Pérez, Esteban JoveIn solar-powered microgrids, solar power yield prediction is critical to optimize operations and reduce the impact of uncertainties. Solar radiance prediction is essential for solar power yield prediction, which typically requires historical solar radiance data. Moreover, uncertainty and low correlation of Photovoltaic power availability with load reduces the benefits of their integration in the microgird. These challenges can be resolved by implementing buffer such as an energy storage system or a diesel group. However this leads to increased operational cost. Solar radiance forecasting helps to reduce reserve requirement, thereby improving the use of photovoltaic energy inside the microgrid system, technically in term of power control, economically in term of energy cost and environmentally in term of toxic emissions that can be provided from the buffer systems such as the batteries and diesel group. The work presented in this thesis addresses the problem of predicting solar radiance in order to increase the performance of the Bragan¸ca city silk house microgrid using regression machine learning based approaches including linear regression models, regression trees, Gaussian process regression models, support vector machines, kernel approximation, ensembles of regression trees, and neural network regression models, the model performances results are compared in term root mean squared errors, mean square error, R-squared, mean absolute error.